Data Scientist Needed at Helium Health
Helium Health is a full-service Healthtech company that provides a suite of solutions for healthcare providers, payers, and patients in emerging markets — at the core of which is our SaaS based electronic medical records/hospital management information system (EMR/HMIS).
We are recruiting to fill the position below:
Job Title: Data Scientist
Location: Lagos
Job Type: Full time
Role Overview
As a Data Scientist at Helium Health, you will play a pivotal role in harnessing the vast amount of healthcare data we collect to develop predictive models, optimize clinical workflows, and support critical decision-making.
You will work closely with data engineers, clinicians, and product teams to build data-driven solutions that directly impact the healthcare industry.
This is an exciting opportunity to apply advanced machine learning, statistical analysis, and AI techniques to improve patient care and operational efficiency.
Responsibilities
Data Science
Create data science strategies that align with the company’s goals and objectives.
Analyze large, structured, and unstructured healthcare datasets (e.g., clinical, administrative, and claims data) to discover insights, trends, and opportunities.
Develop predictive models, such as patient risk stratification, readmission prediction, and disease progression modeling, using machine learning and statistical techniques.
Build and deploy algorithms that improve clinical decision-making, including natural language processing (NLP) for extracting insights from clinical notes and other text-based data.
Collaborate with healthcare professionals to understand clinical workflows and design solutions that enhance patient outcomes.
Design and implement A/B testing frameworks to evaluate the effectiveness of new interventions or system features.
Create data visualizations and reports to communicate key findings to stakeholders, including clinicians, healthcare administrators, and product teams.
Ensure the quality, integrity, and compliance of all data processes, aligning with regulations such as HIPAA and HITECH.
Work closely with data engineers to optimize data pipelines and develop scalable solutions for real-time analytics.
Stay current with the latest developments in data science, AI, and healthcare technology to apply cutting-edge methods to healthcare problems.
Business Intelligence:
Partner with business to provide insightful analytics to improve processes; explore opportunities for analytics.
Assist in translating complex datasets into strategic insights for the business; communicate to non-technical audiences, visualize results, and create understandings and solution buy-in.
People Management:
Lead the team of data scientists and analysts in the development and implementation of data science projects.
Participate in peer review of requirements and code review with the larger team.
Requirements
Master’s or BSc. in Data Science, Statistics, Computer Science, Biomedical Informatics, or a related field.
3+ years of experience in data science or machine learning, preferably in healthcare or EHR environments.
Proficiency in programming languages such as Python or R, along with SQL for data manipulation.
Proficiency in the development, validation, implementation, and production launch of machine-learning algorithms and models.
Strong expertise in machine learning algorithms (e.g., regression, decision trees, clustering, neural networks) and experience with libraries such as TensorFlow, Scikit-learn, or PyTorch.
Experience working with healthcare data standards and formats (e.g., HL7, FHIR, ICD codes, claims data).
Knowledge of statistical analysis and experimental design, including A/B testing, hypothesis testing, and survival analysis.
Familiarity with data visualization tools (e.g., Tableau, Power BI, or Matplotlib) to present insights clearly to non-technical audiences.
Experience with natural language processing (NLP) for extracting insights from clinical notes and medical documents is a plus.
Strong problem-solving and communication skills, with the ability to work effectively in cross-functional teams.
Knowledge of healthcare regulations and standards (e.g., HIPAA, HITECH) and the importance of data security and privacy.
Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
Deep appreciation for diversity of thought and a proponent for collaborative solutions.
Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.
Preferred Qualifications:
Experience working with EHR systems and clinical data workflows
Familiarity with cloud platforms (AWS, Azure, GCP) for deploying machine learning models and scalable data solutions
Prior experience with time-series analysis, predictive modeling or deep learning techniques in healthcare
Strong understanding of healthcare operations, including clinical decision-making, patient management and population health.
Benefits
This role offers a competitive salary in a collaborative work environment with a dynamic and diverse team. We also offer tremendous potential with a growing global organization.
Package includes guaranteed take home
20 days holidays + public holidays
Enhanced Parental + Family Leave – 60 days paid Maternity Leave and 20 days paid Paternity Leave. Our Adoption Leave policy follows the similar arrangements.
Health Insurance or Medical Allowance
Robust Learning and Development Opportunities
Team-building activities and social events
Amazing team culture!
Application Closing Date
Not Specified.
